task stringclasses 1
value | env_id stringclasses 1
value | env_kwargs dict | seed int64 2.03B 2.03B | episode_seed int64 3.03B 3.03B | episode int64 0 100k | init_state dict | init_state_hash stringlengths 64 64 | version stringclasses 1
value | messages listlengths 2 2 | chunk_size stringclasses 1
value | n_steps int64 10 28 | n_actions int64 10 28 | n_imagined_frames int64 0 0 | max_steps int64 80 80 | cot_row_type stringclasses 1
value | ablation stringclasses 1
value | schema_version stringclasses 1
value |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
pacman_2d_easy_braidthin_oracle_success_v0 | pacman_2d/easy | {
"difficulty": "easy",
"grid_size": 9,
"food_count": 8,
"num_ghosts": 1,
"wall_density": 0.22,
"max_steps": 80,
"horizon": 8,
"tile_size": 24,
"render_size": 256,
"level": null,
"num_power_pellets": 0,
"frightened_steps": 12,
"diverse_ghosts": false,
"braid": true,
"thin_corridors": true,... | 2,026,080,200 | 3,026,080,210 | 0 | {
"backend": "custom_grid_pacman_python_assets",
"difficulty": "easy",
"grid_size": 9,
"food_count": 8,
"wall_density": 0.22,
"max_steps": 80,
"horizon": 8,
"tile_size": 24,
"walls": [
[
1,
1,
1,
1,
1,
1,
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1,
1
],
[
1,
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... | ff32b0a7c5ab380e10c30a9a179edd9ad7363c7075fc0c216a0afdb33b352002 | visgym_pacman_oracle_success_easy_v1 | [
{
"role": "user",
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{
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"text": "You are Pacman in a deterministic 9x9 maze. Collect every food pellet, avoid the single red ghost, and stop only after all food is gone. The rendering uses pacman-python Pacman, ghost, pellet, and maze tile visuals, but the envi... | inf | 15 | 15 | 0 | 80 | singleshot_openloop_baseline | single_frame_openloop_no_imagination | pacman_singleshot_openloop_v1 |
pacman_2d_easy_braidthin_oracle_success_v0 | pacman_2d/easy | {
"difficulty": "easy",
"grid_size": 9,
"food_count": 8,
"num_ghosts": 1,
"wall_density": 0.22,
"max_steps": 80,
"horizon": 8,
"tile_size": 24,
"render_size": 256,
"level": null,
"num_power_pellets": 0,
"frightened_steps": 12,
"diverse_ghosts": false,
"braid": true,
"thin_corridors": true,... | 2,026,080,200 | 3,026,080,204 | 1 | {
"backend": "custom_grid_pacman_python_assets",
"difficulty": "easy",
"grid_size": 9,
"food_count": 8,
"wall_density": 0.22,
"max_steps": 80,
"horizon": 8,
"tile_size": 24,
"walls": [
[
1,
1,
1,
1,
1,
1,
1,
1,
1
],
[
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... | d295a4feb717b7c4b7adb85794916379cc925ab5adc85054b8e3622500321497 | visgym_pacman_oracle_success_easy_v1 | [
{
"role": "user",
"content": [
{
"type": "text",
"text": "You are Pacman in a deterministic 9x9 maze. Collect every food pellet, avoid the single red ghost, and stop only after all food is gone. The rendering uses pacman-python Pacman, ghost, pellet, and maze tile visuals, but the envi... | inf | 27 | 27 | 0 | 80 | singleshot_openloop_baseline | single_frame_openloop_no_imagination | pacman_singleshot_openloop_v1 |
pacman_2d_easy_braidthin_oracle_success_v0 | pacman_2d/easy | {
"difficulty": "easy",
"grid_size": 9,
"food_count": 8,
"num_ghosts": 1,
"wall_density": 0.22,
"max_steps": 80,
"horizon": 8,
"tile_size": 24,
"render_size": 256,
"level": null,
"num_power_pellets": 0,
"frightened_steps": 12,
"diverse_ghosts": false,
"braid": true,
"thin_corridors": true,... | 2,026,080,200 | 3,026,080,202 | 2 | {
"backend": "custom_grid_pacman_python_assets",
"difficulty": "easy",
"grid_size": 9,
"food_count": 8,
"wall_density": 0.22,
"max_steps": 80,
"horizon": 8,
"tile_size": 24,
"walls": [
[
1,
1,
1,
1,
1,
1,
1,
1,
1
],
[
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... | f69d0f3262473fc1b0381ca993e2cdf704afc4e42eb6a462ef4299e4a780f96d | visgym_pacman_oracle_success_easy_v1 | [
{
"role": "user",
"content": [
{
"type": "text",
"text": "You are Pacman in a deterministic 9x9 maze. Collect every food pellet, avoid the single red ghost, and stop only after all food is gone. The rendering uses pacman-python Pacman, ghost, pellet, and maze tile visuals, but the envi... | inf | 18 | 18 | 0 | 80 | singleshot_openloop_baseline | single_frame_openloop_no_imagination | pacman_singleshot_openloop_v1 |
pacman_2d_easy_braidthin_oracle_success_v0 | pacman_2d/easy | {
"difficulty": "easy",
"grid_size": 9,
"food_count": 8,
"num_ghosts": 1,
"wall_density": 0.22,
"max_steps": 80,
"horizon": 8,
"tile_size": 24,
"render_size": 256,
"level": null,
"num_power_pellets": 0,
"frightened_steps": 12,
"diverse_ghosts": false,
"braid": true,
"thin_corridors": true,... | 2,026,080,200 | 3,026,080,278 | 3 | {
"backend": "custom_grid_pacman_python_assets",
"difficulty": "easy",
"grid_size": 9,
"food_count": 8,
"wall_density": 0.22,
"max_steps": 80,
"horizon": 8,
"tile_size": 24,
"walls": [
[
1,
1,
1,
1,
1,
1,
1,
1,
1
],
[
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... | 812d7734f4e3691cf6567332e6a00ab59a4de86f9fbc0bccf997eec3b8ff8b07 | visgym_pacman_oracle_success_easy_v1 | [
{
"role": "user",
"content": [
{
"type": "text",
"text": "You are Pacman in a deterministic 9x9 maze. Collect every food pellet, avoid the single red ghost, and stop only after all food is gone. The rendering uses pacman-python Pacman, ghost, pellet, and maze tile visuals, but the envi... | inf | 16 | 16 | 0 | 80 | singleshot_openloop_baseline | single_frame_openloop_no_imagination | pacman_singleshot_openloop_v1 |
pacman_2d_easy_braidthin_oracle_success_v0 | pacman_2d/easy | {
"difficulty": "easy",
"grid_size": 9,
"food_count": 8,
"num_ghosts": 1,
"wall_density": 0.22,
"max_steps": 80,
"horizon": 8,
"tile_size": 24,
"render_size": 256,
"level": null,
"num_power_pellets": 0,
"frightened_steps": 12,
"diverse_ghosts": false,
"braid": true,
"thin_corridors": true,... | 2,026,080,200 | 3,026,080,254 | 4 | {
"backend": "custom_grid_pacman_python_assets",
"difficulty": "easy",
"grid_size": 9,
"food_count": 8,
"wall_density": 0.22,
"max_steps": 80,
"horizon": 8,
"tile_size": 24,
"walls": [
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1,
1,
1,
1,
1,
1,
1,
1,
1
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[
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... | 280d808f22591f0829876f0ca77078767f1d2b77c9574af29180ae265ddf9c6b | visgym_pacman_oracle_success_easy_v1 | [
{
"role": "user",
"content": [
{
"type": "text",
"text": "You are Pacman in a deterministic 9x9 maze. Collect every food pellet, avoid the single red ghost, and stop only after all food is gone. The rendering uses pacman-python Pacman, ghost, pellet, and maze tile visuals, but the envi... | inf | 17 | 17 | 0 | 80 | singleshot_openloop_baseline | single_frame_openloop_no_imagination | pacman_singleshot_openloop_v1 |
pacman_2d_easy_braidthin_oracle_success_v0 | pacman_2d/easy | {"difficulty":"easy","grid_size":9,"food_count":8,"num_ghosts":1,"wall_density":0.22,"max_steps":80,(...TRUNCATED) | 2,026,080,200 | 3,026,080,251 | 5 | {"backend":"custom_grid_pacman_python_assets","difficulty":"easy","grid_size":9,"food_count":8,"wall(...TRUNCATED) | 5c2054cae9a58922f6f408dbcb6308bbe3e24153f10c590a8f716407389fdf7d | visgym_pacman_oracle_success_easy_v1 | [{"role":"user","content":[{"type":"text","text":"You are Pacman in a deterministic 9x9 maze. Collec(...TRUNCATED) | inf | 28 | 28 | 0 | 80 | singleshot_openloop_baseline | single_frame_openloop_no_imagination | pacman_singleshot_openloop_v1 |
pacman_2d_easy_braidthin_oracle_success_v0 | pacman_2d/easy | {"difficulty":"easy","grid_size":9,"food_count":8,"num_ghosts":1,"wall_density":0.22,"max_steps":80,(...TRUNCATED) | 2,026,080,200 | 3,026,080,223 | 6 | {"backend":"custom_grid_pacman_python_assets","difficulty":"easy","grid_size":9,"food_count":8,"wall(...TRUNCATED) | f3218302d8bad7c4fc3031444eebe65b30874a19f646bd54596a070234e48de7 | visgym_pacman_oracle_success_easy_v1 | [{"role":"user","content":[{"type":"text","text":"You are Pacman in a deterministic 9x9 maze. Collec(...TRUNCATED) | inf | 23 | 23 | 0 | 80 | singleshot_openloop_baseline | single_frame_openloop_no_imagination | pacman_singleshot_openloop_v1 |
pacman_2d_easy_braidthin_oracle_success_v0 | pacman_2d/easy | {"difficulty":"easy","grid_size":9,"food_count":8,"num_ghosts":1,"wall_density":0.22,"max_steps":80,(...TRUNCATED) | 2,026,080,200 | 3,026,080,220 | 7 | {"backend":"custom_grid_pacman_python_assets","difficulty":"easy","grid_size":9,"food_count":8,"wall(...TRUNCATED) | 3206c73141e2a64729a65841d1061428f4471540aefca70067645a1df934a8db | visgym_pacman_oracle_success_easy_v1 | [{"role":"user","content":[{"type":"text","text":"You are Pacman in a deterministic 9x9 maze. Collec(...TRUNCATED) | inf | 25 | 25 | 0 | 80 | singleshot_openloop_baseline | single_frame_openloop_no_imagination | pacman_singleshot_openloop_v1 |
pacman_2d_easy_braidthin_oracle_success_v0 | pacman_2d/easy | {"difficulty":"easy","grid_size":9,"food_count":8,"num_ghosts":1,"wall_density":0.22,"max_steps":80,(...TRUNCATED) | 2,026,080,200 | 3,026,080,213 | 8 | {"backend":"custom_grid_pacman_python_assets","difficulty":"easy","grid_size":9,"food_count":8,"wall(...TRUNCATED) | 3aedc4e3139d6a57d46e36969a2f88f1c93a035d7ed8c4436889d2ed6cb39cb7 | visgym_pacman_oracle_success_easy_v1 | [{"role":"user","content":[{"type":"text","text":"You are Pacman in a deterministic 9x9 maze. Collec(...TRUNCATED) | inf | 19 | 19 | 0 | 80 | singleshot_openloop_baseline | single_frame_openloop_no_imagination | pacman_singleshot_openloop_v1 |
pacman_2d_easy_braidthin_oracle_success_v0 | pacman_2d/easy | {"difficulty":"easy","grid_size":9,"food_count":8,"num_ghosts":1,"wall_density":0.22,"max_steps":80,(...TRUNCATED) | 2,026,080,200 | 3,026,080,229 | 9 | {"backend":"custom_grid_pacman_python_assets","difficulty":"easy","grid_size":9,"food_count":8,"wall(...TRUNCATED) | f9b032b45558b8a641e7d0b5f9a68ab6f7c0f9981d2e6786f1e02761037fa24c | visgym_pacman_oracle_success_easy_v1 | [{"role":"user","content":[{"type":"text","text":"You are Pacman in a deterministic 9x9 maze. Collec(...TRUNCATED) | inf | 23 | 23 | 0 | 80 | singleshot_openloop_baseline | single_frame_openloop_no_imagination | pacman_singleshot_openloop_v1 |
End of preview. Expand in Data Studio
pacman_braidthin_noncot_chunk_kinf_train
BAGEL VLM-Gym world-model dataset (pacman / noncot).
- Non-CoT single-shot open-loop training data (K=inf).
- layout: Train-only. Gzipped-JSONL shards under
training/; each row is one packed SFT sample with base64-JPEG frames inline. - images are base64-encoded JPEG frames stored inline in each JSONL row.
Pairs with the matching pacman checkpoint(s) under the companion model org; CoT and non-CoT
variants share the same underlying rollouts.
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